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Q: When you role a die there 36 possible combinations What is the probability of each possible outcome?

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Associates a particulare probability of occurrence with each outcome in the sample space.

A probability distribution must have a well defined domain - that is, the set of possible outcomes.For each possible outcome, there must be a non-negative value associated - the probability of that outcome.The sum of the probabilities, over all possible outcomes, must be 1.

The expected outcome is the sum of (each possible occurrence times the probability of that occurrence). For example, the expected outcome of rolling one die is: 1 * 1/6 + 2 * 1/6 + 3 * 1/6 + 4 * 1/6 + 5 * 1/6 + 6 * 1/6 = 3.5.

There are 3 combinations - (1, 3), (2, 2), (3, 1) - that will result in a sum of four. Using fair d6 dice, there are 36 possible combinations - 6 on each die, 6 x 6 = 36. Thus there is a 3/36 = 1/12 = 0.0833.. = 8.3% probability.

We can use 36 characters for each of the slots in the combination. Therefore, we have 36^11 possible combinations, or 131,621,703,842,267,136 combinations.

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It is 1/36 since each outcome is equally likely.

The probability distribution of an experiment is a function that maps the probability of each possible outcome of the experiment to that outcome.

Uniform probability can refer to a discrete probability distribution for which each outcome has the same probability. For a continuous distribution, it requires that the probability of the outcome is directly proportional to the range of values in the desired outcome (compared to the total range).

Associates a particulare probability of occurrence with each outcome in the sample space.

Uniform probability can refer to a discrete probability distribution for which each outcome has the same probability. For a continuous distribution, it requires that the probability of the outcome is directly proportional to the range of values in the desired outcome (compared to the total range).

A probability distribution must have a well defined domain - that is, the set of possible outcomes.For each possible outcome, there must be a non-negative value associated - the probability of that outcome.The sum of the probabilities, over all possible outcomes, must be 1.

Probability distribution is when all the possible outcomes of a random variation are gathered together and the probability of each outcome is figured out. There are several ethical issues with this one being that it is not always accurate information that is gathered.

Each outcome has a probability of 0.05

The expected outcome is the sum of (each possible occurrence times the probability of that occurrence). For example, the expected outcome of rolling one die is: 1 * 1/6 + 2 * 1/6 + 3 * 1/6 + 4 * 1/6 + 5 * 1/6 + 6 * 1/6 = 3.5.

Find all the possible outcomes and the probabilities associated with each. That information comprises the probability distribution.Find all the possible outcomes and the probabilities associated with each. That information comprises the probability distribution.Find all the possible outcomes and the probabilities associated with each. That information comprises the probability distribution.Find all the possible outcomes and the probabilities associated with each. That information comprises the probability distribution.

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